Overview

Dataset statistics

Number of variables28
Number of observations150000
Missing cells0
Missing cells (%)0.0%
Duplicate rows115
Duplicate rows (%)0.1%
Total size in memory32.0 MiB
Average record size in memory224.0 B

Variable types

Numeric26
Categorical2

Alerts

Dataset has 115 (0.1%) duplicate rowsDuplicates
regDate is highly overall correlated with price and 6 other fieldsHigh correlation
power is highly overall correlated with price and 3 other fieldsHigh correlation
price is highly overall correlated with regDate and 8 other fieldsHigh correlation
v_0 is highly overall correlated with regDate and 9 other fieldsHigh correlation
v_1 is highly overall correlated with v_6 and 2 other fieldsHigh correlation
v_2 is highly overall correlated with regDate and 6 other fieldsHigh correlation
v_3 is highly overall correlated with regDate and 7 other fieldsHigh correlation
v_4 is highly overall correlated with v_5 and 2 other fieldsHigh correlation
v_5 is highly overall correlated with power and 4 other fieldsHigh correlation
v_6 is highly overall correlated with v_1 and 2 other fieldsHigh correlation
v_7 is highly overall correlated with v_2High correlation
v_8 is highly overall correlated with regDate and 6 other fieldsHigh correlation
v_9 is highly overall correlated with v_4 and 2 other fieldsHigh correlation
v_10 is highly overall correlated with price and 4 other fieldsHigh correlation
v_11 is highly overall correlated with v_1 and 3 other fieldsHigh correlation
v_12 is highly overall correlated with regDate and 6 other fieldsHigh correlation
v_13 is highly overall correlated with v_4 and 2 other fieldsHigh correlation
transformed_price is highly overall correlated with regDate and 8 other fieldsHigh correlation
notRepairedDamage is highly imbalanced (54.6%)Imbalance
creatDate is highly skewed (γ1 = -79.01331042)Skewed
model has 11763 (7.8%) zerosZeros
brand has 31480 (21.0%) zerosZeros
bodyType has 45926 (30.6%) zerosZeros
fuelType has 100336 (66.9%) zerosZeros
power has 12829 (8.6%) zerosZeros
v_5 has 4485 (3.0%) zerosZeros
v_6 has 35465 (23.6%) zerosZeros
v_7 has 5467 (3.6%) zerosZeros
v_8 has 1597 (1.1%) zerosZeros
v_9 has 3486 (2.3%) zerosZeros

Reproduction

Analysis started2023-05-25 23:42:15.907420
Analysis finished2023-05-25 23:46:49.666549
Duration4 minutes and 33.76 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

regDate
Real number (ℝ)

Distinct3894
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20034171
Minimum19910001
Maximum20151212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:49.902156image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum19910001
5-th percentile19950209
Q119990912
median20030912
Q320071109
95-th percentile20120811
Maximum20151212
Range241211
Interquartile range (IQR)80197

Descriptive statistics

Standard deviation53649.879
Coefficient of variation (CV)0.0026779187
Kurtosis-0.69730783
Mean20034171
Median Absolute Deviation (MAD)40096
Skewness0.028495079
Sum3.0051256 × 1012
Variance2.8783095 × 109
MonotonicityNot monotonic
2023-05-26T07:46:50.510960image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000008 180
 
0.1%
20000011 158
 
0.1%
20000010 157
 
0.1%
20000004 157
 
0.1%
20000002 155
 
0.1%
20000009 154
 
0.1%
20000005 151
 
0.1%
20000001 149
 
0.1%
20000006 143
 
0.1%
20000007 142
 
0.1%
Other values (3884) 148454
99.0%
ValueCountFrequency (%)
19910001 14
< 0.1%
19910002 14
< 0.1%
19910003 12
< 0.1%
19910004 11
< 0.1%
19910005 15
< 0.1%
19910006 15
< 0.1%
19910007 18
< 0.1%
19910008 15
< 0.1%
19910009 15
< 0.1%
19910010 15
< 0.1%
ValueCountFrequency (%)
20151212 1
 
< 0.1%
20151211 3
 
< 0.1%
20151210 5
< 0.1%
20151209 1
 
< 0.1%
20151208 4
< 0.1%
20151207 8
< 0.1%
20151206 6
< 0.1%
20151205 4
< 0.1%
20151204 2
 
< 0.1%
20151203 6
< 0.1%

model
Real number (ℝ)

Distinct248
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.128707
Minimum0
Maximum247
Zeros11763
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:50.803109image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median30
Q366
95-th percentile162
Maximum247
Range247
Interquartile range (IQR)56

Descriptive statistics

Standard deviation49.536024
Coefficient of variation (CV)1.0510796
Kurtosis1.7405007
Mean47.128707
Median Absolute Deviation (MAD)24
Skewness1.4843925
Sum7069306
Variance2453.8177
MonotonicityNot monotonic
2023-05-26T07:46:51.087867image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11763
 
7.8%
19 9573
 
6.4%
4 8445
 
5.6%
1 6038
 
4.0%
29 5186
 
3.5%
48 5052
 
3.4%
40 4502
 
3.0%
26 4496
 
3.0%
8 4391
 
2.9%
31 3827
 
2.6%
Other values (238) 86727
57.8%
ValueCountFrequency (%)
0 11763
7.8%
1 6038
4.0%
2 286
 
0.2%
3 920
 
0.6%
4 8445
5.6%
5 2063
 
1.4%
6 301
 
0.2%
7 1460
 
1.0%
8 4391
 
2.9%
9 55
 
< 0.1%
ValueCountFrequency (%)
247 1
 
< 0.1%
246 7
 
< 0.1%
245 2
 
< 0.1%
244 3
 
< 0.1%
243 4
 
< 0.1%
242 2
 
< 0.1%
241 10
 
< 0.1%
240 2
 
< 0.1%
239 14
 
< 0.1%
238 44
< 0.1%

brand
Real number (ℝ)

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0527333
Minimum0
Maximum39
Zeros31480
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:51.369975image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q313
95-th percentile25
Maximum39
Range39
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.8649563
Coefficient of variation (CV)0.97668158
Kurtosis1.0762015
Mean8.0527333
Median Absolute Deviation (MAD)5
Skewness1.1507603
Sum1207910
Variance61.857538
MonotonicityNot monotonic
2023-05-26T07:46:51.625369image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 31480
21.0%
4 16737
11.2%
14 16089
10.7%
10 14249
9.5%
1 13794
9.2%
6 10217
 
6.8%
9 7306
 
4.9%
5 4665
 
3.1%
13 3817
 
2.5%
11 2945
 
2.0%
Other values (30) 28701
19.1%
ValueCountFrequency (%)
0 31480
21.0%
1 13794
9.2%
2 321
 
0.2%
3 2461
 
1.6%
4 16737
11.2%
5 4665
 
3.1%
6 10217
 
6.8%
7 2361
 
1.6%
8 2077
 
1.4%
9 7306
 
4.9%
ValueCountFrequency (%)
39 9
 
< 0.1%
38 65
 
< 0.1%
37 333
 
0.2%
36 228
 
0.2%
35 180
 
0.1%
34 227
 
0.2%
33 218
 
0.1%
32 592
0.4%
31 318
 
0.2%
30 940
0.6%

bodyType
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7385267
Minimum0
Maximum7
Zeros45926
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:51.845584image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum7
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.760778
Coefficient of variation (CV)1.0127989
Kurtosis0.26122317
Mean1.7385267
Median Absolute Deviation (MAD)1
Skewness1.0215969
Sum260779
Variance3.100339
MonotonicityNot monotonic
2023-05-26T07:46:52.040274image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 45926
30.6%
1 35272
23.5%
2 30324
20.2%
3 13491
 
9.0%
4 9609
 
6.4%
5 7607
 
5.1%
6 6482
 
4.3%
7 1289
 
0.9%
ValueCountFrequency (%)
0 45926
30.6%
1 35272
23.5%
2 30324
20.2%
3 13491
 
9.0%
4 9609
 
6.4%
5 7607
 
5.1%
6 6482
 
4.3%
7 1289
 
0.9%
ValueCountFrequency (%)
7 1289
 
0.9%
6 6482
 
4.3%
5 7607
 
5.1%
4 9609
 
6.4%
3 13491
 
9.0%
2 30324
20.2%
1 35272
23.5%
0 45926
30.6%

fuelType
Real number (ℝ)

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35409333
Minimum0
Maximum6
Zeros100336
Zeros (%)66.9%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:52.216332image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.53974672
Coefficient of variation (CV)1.5243064
Kurtosis6.2084356
Mean0.35409333
Median Absolute Deviation (MAD)0
Skewness1.6804193
Sum53114
Variance0.29132652
MonotonicityNot monotonic
2023-05-26T07:46:52.391613image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 100336
66.9%
1 46991
31.3%
2 2212
 
1.5%
3 262
 
0.2%
4 118
 
0.1%
5 45
 
< 0.1%
6 36
 
< 0.1%
ValueCountFrequency (%)
0 100336
66.9%
1 46991
31.3%
2 2212
 
1.5%
3 262
 
0.2%
4 118
 
0.1%
5 45
 
< 0.1%
6 36
 
< 0.1%
ValueCountFrequency (%)
6 36
 
< 0.1%
5 45
 
< 0.1%
4 118
 
0.1%
3 262
 
0.2%
2 2212
 
1.5%
1 46991
31.3%
0 100336
66.9%

gearbox
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
0.0
117604 
1.0
32396 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters450000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 117604
78.4%
1.0 32396
 
21.6%

Length

2023-05-26T07:46:52.558570image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-26T07:46:52.799588image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
ValueCountFrequency (%)
0.0 117604
78.4%
1.0 32396
 
21.6%

Most occurring characters

ValueCountFrequency (%)
0 267604
59.5%
. 150000
33.3%
1 32396
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300000
66.7%
Other Punctuation 150000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 267604
89.2%
1 32396
 
10.8%
Other Punctuation
ValueCountFrequency (%)
. 150000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 450000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 267604
59.5%
. 150000
33.3%
1 32396
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 450000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 267604
59.5%
. 150000
33.3%
1 32396
 
7.2%

power
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct445
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.86097
Minimum0
Maximum600
Zeros12829
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:53.083789image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median110
Q3150
95-th percentile232
Maximum600
Range600
Interquartile range (IQR)75

Descriptive statistics

Standard deviation70.075256
Coefficient of variation (CV)0.59964635
Kurtosis4.8080974
Mean116.86097
Median Absolute Deviation (MAD)37
Skewness1.2428785
Sum17529146
Variance4910.5415
MonotonicityNot monotonic
2023-05-26T07:46:53.363191image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12829
 
8.6%
75 9593
 
6.4%
150 6495
 
4.3%
60 6374
 
4.2%
140 5963
 
4.0%
101 5537
 
3.7%
116 5177
 
3.5%
90 4890
 
3.3%
170 4791
 
3.2%
105 4457
 
3.0%
Other values (435) 83894
55.9%
ValueCountFrequency (%)
0 12829
8.6%
1 8
 
< 0.1%
2 3
 
< 0.1%
3 3
 
< 0.1%
4 9
 
< 0.1%
5 42
 
< 0.1%
6 5
 
< 0.1%
7 3
 
< 0.1%
8 3
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
600 150
0.1%
587 1
 
< 0.1%
585 3
 
< 0.1%
584 1
 
< 0.1%
583 1
 
< 0.1%
580 1
 
< 0.1%
579 5
 
< 0.1%
575 1
 
< 0.1%
572 1
 
< 0.1%
570 1
 
< 0.1%

kilometer
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.59716
Minimum0.5
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:53.613962image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile4
Q112.5
median15
Q315
95-th percentile15
Maximum15
Range14.5
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation3.9195755
Coefficient of variation (CV)0.31114755
Kurtosis1.1419342
Mean12.59716
Median Absolute Deviation (MAD)0
Skewness-1.5259214
Sum1889574
Variance15.363072
MonotonicityNot monotonic
2023-05-26T07:46:53.807809image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
15 96877
64.6%
12.5 15722
 
10.5%
10 6459
 
4.3%
9 5257
 
3.5%
8 4573
 
3.0%
7 4084
 
2.7%
6 3725
 
2.5%
5 3144
 
2.1%
4 2718
 
1.8%
3 2501
 
1.7%
Other values (3) 4940
 
3.3%
ValueCountFrequency (%)
0.5 1840
 
1.2%
1 746
 
0.5%
2 2354
1.6%
3 2501
1.7%
4 2718
1.8%
5 3144
2.1%
6 3725
2.5%
7 4084
2.7%
8 4573
3.0%
9 5257
3.5%
ValueCountFrequency (%)
15 96877
64.6%
12.5 15722
 
10.5%
10 6459
 
4.3%
9 5257
 
3.5%
8 4573
 
3.0%
7 4084
 
2.7%
6 3725
 
2.5%
5 3144
 
2.1%
4 2718
 
1.8%
3 2501
 
1.7%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.1 MiB
0.0
135685 
1.0
14315 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters450000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 135685
90.5%
1.0 14315
 
9.5%

Length

2023-05-26T07:46:54.006054image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-26T07:46:54.193799image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
ValueCountFrequency (%)
0.0 135685
90.5%
1.0 14315
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0 285685
63.5%
. 150000
33.3%
1 14315
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300000
66.7%
Other Punctuation 150000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 285685
95.2%
1 14315
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 150000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 450000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 285685
63.5%
. 150000
33.3%
1 14315
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 450000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 285685
63.5%
. 150000
33.3%
1 14315
 
3.2%

regionCode
Real number (ℝ)

Distinct7905
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2583.0773
Minimum0
Maximum8120
Zeros63
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:54.346182image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile188
Q11018
median2196
Q33843
95-th percentile6244.05
Maximum8120
Range8120
Interquartile range (IQR)2825

Descriptive statistics

Standard deviation1885.3632
Coefficient of variation (CV)0.72989037
Kurtosis-0.34083178
Mean2583.0773
Median Absolute Deviation (MAD)1349
Skewness0.68888118
Sum3.8746159 × 108
Variance3554594.5
MonotonicityNot monotonic
2023-05-26T07:46:54.636350image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
419 369
 
0.2%
764 258
 
0.2%
125 137
 
0.1%
176 136
 
0.1%
462 134
 
0.1%
428 132
 
0.1%
1184 130
 
0.1%
24 130
 
0.1%
122 129
 
0.1%
828 126
 
0.1%
Other values (7895) 148319
98.9%
ValueCountFrequency (%)
0 63
< 0.1%
1 17
 
< 0.1%
2 26
 
< 0.1%
3 30
< 0.1%
4 65
< 0.1%
5 39
< 0.1%
6 40
< 0.1%
7 7
 
< 0.1%
8 25
 
< 0.1%
9 7
 
< 0.1%
ValueCountFrequency (%)
8120 1
< 0.1%
8117 1
< 0.1%
8113 1
< 0.1%
8112 1
< 0.1%
8109 1
< 0.1%
8107 1
< 0.1%
8106 1
< 0.1%
8105 1
< 0.1%
8104 1
< 0.1%
8103 2
< 0.1%

creatDate
Real number (ℝ)

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20160331
Minimum20150618
Maximum20160407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:54.935902image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20150618
5-th percentile20160307
Q120160313
median20160321
Q320160329
95-th percentile20160404
Maximum20160407
Range9789
Interquartile range (IQR)16

Descriptive statistics

Standard deviation106.73281
Coefficient of variation (CV)5.2941993 × 10-6
Kurtosis6881.0803
Mean20160331
Median Absolute Deviation (MAD)8
Skewness-79.01331
Sum3.0240496 × 1012
Variance11391.892
MonotonicityNot monotonic
2023-05-26T07:46:55.446263image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20160403 5848
 
3.9%
20160404 5606
 
3.7%
20160320 5485
 
3.7%
20160312 5383
 
3.6%
20160402 5382
 
3.6%
20160321 5361
 
3.6%
20160314 5278
 
3.5%
20160328 5218
 
3.5%
20160319 5213
 
3.5%
20160307 5203
 
3.5%
Other values (86) 96023
64.0%
ValueCountFrequency (%)
20150618 1
< 0.1%
20150807 1
< 0.1%
20150810 1
< 0.1%
20150904 2
< 0.1%
20150909 1
< 0.1%
20151108 1
< 0.1%
20151112 1
< 0.1%
20151117 1
< 0.1%
20151123 2
< 0.1%
20151124 2
< 0.1%
ValueCountFrequency (%)
20160407 223
 
0.1%
20160406 505
 
0.3%
20160405 1688
 
1.1%
20160404 5606
3.7%
20160403 5848
3.9%
20160402 5382
3.6%
20160401 5092
3.4%
20160331 4769
3.2%
20160330 5075
3.4%
20160329 5106
3.4%

price
Real number (ℝ)

Distinct3763
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5923.3273
Minimum11
Maximum99999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:55.749026image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile400
Q11300
median3250
Q37700
95-th percentile19970
Maximum99999
Range99988
Interquartile range (IQR)6400

Descriptive statistics

Standard deviation7501.9985
Coefficient of variation (CV)1.2665176
Kurtosis18.995183
Mean5923.3273
Median Absolute Deviation (MAD)2351
Skewness3.3464868
Sum8.884991 × 108
Variance56279981
MonotonicityNot monotonic
2023-05-26T07:46:56.022364image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500 2337
 
1.6%
1500 2158
 
1.4%
1200 1922
 
1.3%
1000 1850
 
1.2%
2500 1821
 
1.2%
600 1535
 
1.0%
3500 1533
 
1.0%
800 1513
 
1.0%
2000 1378
 
0.9%
999 1356
 
0.9%
Other values (3753) 132597
88.4%
ValueCountFrequency (%)
11 2
 
< 0.1%
12 3
 
< 0.1%
13 6
 
< 0.1%
14 1
 
< 0.1%
15 13
< 0.1%
16 1
 
< 0.1%
17 1
 
< 0.1%
20 14
< 0.1%
25 15
< 0.1%
29 1
 
< 0.1%
ValueCountFrequency (%)
99999 5
< 0.1%
99990 1
 
< 0.1%
99900 1
 
< 0.1%
98430 1
 
< 0.1%
98000 2
 
< 0.1%
97500 1
 
< 0.1%
95400 1
 
< 0.1%
95000 1
 
< 0.1%
93900 1
 
< 0.1%
93490 1
 
< 0.1%

v_0
Real number (ℝ)

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.406268
Minimum30.451976
Maximum52.304178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:56.318386image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum30.451976
5-th percentile40.99571
Q143.135799
median44.610266
Q346.004721
95-th percentile47.747258
Maximum52.304178
Range21.852202
Interquartile range (IQR)2.868922

Descriptive statistics

Standard deviation2.4575479
Coefficient of variation (CV)0.055342366
Kurtosis3.993841
Mean44.406268
Median Absolute Deviation (MAD)1.4315966
Skewness-1.3167123
Sum6660940.1
Variance6.0395417
MonotonicityNot monotonic
2023-05-26T07:46:56.575063image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.34911469 20
 
< 0.1%
48.0872165 16
 
< 0.1%
47.84035689 15
 
< 0.1%
47.56845031 15
 
< 0.1%
48.25143023 15
 
< 0.1%
48.61814962 15
 
< 0.1%
48.26590733 14
 
< 0.1%
47.80298905 14
 
< 0.1%
48.43343972 14
 
< 0.1%
47.66644402 12
 
< 0.1%
Other values (143987) 149850
99.9%
ValueCountFrequency (%)
30.45197649 1
< 0.1%
30.6073942 1
< 0.1%
30.82789938 1
< 0.1%
30.8293016 1
< 0.1%
31.00220029 1
< 0.1%
31.13332226 1
< 0.1%
31.1672467 1
< 0.1%
31.19599597 1
< 0.1%
31.20472404 1
< 0.1%
31.35749359 1
< 0.1%
ValueCountFrequency (%)
52.30417826 1
< 0.1%
51.88151656 1
< 0.1%
51.81542136 1
< 0.1%
51.71244476 1
< 0.1%
51.70440641 1
< 0.1%
51.68533666 1
< 0.1%
51.67110972 1
< 0.1%
51.53702837 1
< 0.1%
51.50328004 1
< 0.1%
51.49904119 1
< 0.1%

v_1
Real number (ℝ)

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.044809123
Minimum-4.2955889
Maximum7.3203084
Zeros0
Zeros (%)0.0%
Negative84634
Negative (%)56.4%
Memory size1.1 MiB
2023-05-26T07:46:56.872329image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-4.2955889
5-th percentile-3.3151056
Q1-3.1923493
median-3.0526714
Q34.0006698
95-th percentile5.1564935
Maximum7.3203084
Range11.615897
Interquartile range (IQR)7.1930191

Descriptive statistics

Standard deviation3.641893
Coefficient of variation (CV)-81.275704
Kurtosis-1.753017
Mean-0.044809123
Median Absolute Deviation (MAD)0.24736096
Skewness0.35945429
Sum-6721.3685
Variance13.263385
MonotonicityNot monotonic
2023-05-26T07:46:57.157509image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.245133027 20
 
< 0.1%
3.183322711 16
 
< 0.1%
3.354949272 15
 
< 0.1%
2.796738683 15
 
< 0.1%
1.942731923 15
 
< 0.1%
3.116687784 15
 
< 0.1%
3.195363167 14
 
< 0.1%
2.886858389 14
 
< 0.1%
3.396243998 14
 
< 0.1%
3.400294632 12
 
< 0.1%
Other values (143988) 149850
99.9%
ValueCountFrequency (%)
-4.295588903 1
< 0.1%
-4.236904217 1
< 0.1%
-4.200243504 1
< 0.1%
-4.169894283 1
< 0.1%
-4.11464681 1
< 0.1%
-4.113637116 1
< 0.1%
-4.094806822 1
< 0.1%
-4.092314283 1
< 0.1%
-4.076773353 1
< 0.1%
-4.066382172 1
< 0.1%
ValueCountFrequency (%)
7.320308375 1
< 0.1%
7.299601831 1
< 0.1%
7.270447755 1
< 0.1%
7.251385223 1
< 0.1%
7.189598872 1
< 0.1%
7.094314527 1
< 0.1%
7.073286121 1
< 0.1%
7.016977744 1
< 0.1%
7.005886041 1
< 0.1%
6.990545362 1
< 0.1%

v_2
Real number (ℝ)

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.080765058
Minimum-4.4706714
Maximum19.035496
Zeros0
Zeros (%)0.0%
Negative99360
Negative (%)66.2%
Memory size1.1 MiB
2023-05-26T07:46:57.444083image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-4.4706714
5-th percentile-1.7806403
Q1-0.9706712
median-0.38294689
Q30.24133485
95-th percentile1.2280789
Maximum19.035496
Range23.506168
Interquartile range (IQR)1.2120061

Descriptive statistics

Standard deviation2.9296179
Coefficient of variation (CV)36.273334
Kurtosis23.860591
Mean0.080765058
Median Absolute Deviation (MAD)0.60519791
Skewness4.8425559
Sum12114.759
Variance8.5826613
MonotonicityNot monotonic
2023-05-26T07:46:57.597542image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3498599506 20
 
< 0.1%
0.8265767659 16
 
< 0.1%
0.9806164814 15
 
< 0.1%
0.8877624977 15
 
< 0.1%
-0.1583641418 15
 
< 0.1%
0.0307076025 15
 
< 0.1%
-0.1289230628 14
 
< 0.1%
0.9858723586 14
 
< 0.1%
-0.0281644461 14
 
< 0.1%
0.9579955007 12
 
< 0.1%
Other values (143987) 149850
99.9%
ValueCountFrequency (%)
-4.47067143 1
< 0.1%
-4.155742905 1
< 0.1%
-4.022534299 1
< 0.1%
-3.741392553 1
< 0.1%
-3.737970421 2
< 0.1%
-3.68677156 1
< 0.1%
-3.682250972 1
< 0.1%
-3.675345093 1
< 0.1%
-3.507759003 1
< 0.1%
-3.489002191 1
< 0.1%
ValueCountFrequency (%)
19.0354965 1
< 0.1%
18.99430891 1
< 0.1%
18.80211771 1
< 0.1%
18.67641395 1
< 0.1%
18.65675078 1
< 0.1%
18.65604742 1
< 0.1%
18.62893923 1
< 0.1%
18.60843557 1
< 0.1%
18.59142716 1
< 0.1%
18.57870597 1
< 0.1%

v_3
Real number (ℝ)

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.078833423
Minimum-7.2750367
Maximum9.8547015
Zeros0
Zeros (%)0.0%
Negative72655
Negative (%)48.4%
Memory size1.1 MiB
2023-05-26T07:46:57.870483image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-7.2750367
5-th percentile-3.1737229
Q1-1.46258
median0.099721985
Q31.5658382
95-th percentile3.345999
Maximum9.8547015
Range17.129738
Interquartile range (IQR)3.0284182

Descriptive statistics

Standard deviation2.026514
Coefficient of variation (CV)25.70628
Kurtosis-0.41800589
Mean0.078833423
Median Absolute Deviation (MAD)1.5117559
Skewness0.10629204
Sum11825.014
Variance4.1067591
MonotonicityNot monotonic
2023-05-26T07:46:58.147180image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2182005123 20
 
< 0.1%
-1.312989982 16
 
< 0.1%
-1.619872925 15
 
< 0.1%
-1.61243245 15
 
< 0.1%
-2.006612314 15
 
< 0.1%
-1.382756053 15
 
< 0.1%
-1.690953035 14
 
< 0.1%
-1.713509257 14
 
< 0.1%
-1.881849681 14
 
< 0.1%
-1.199487739 12
 
< 0.1%
Other values (143988) 149850
99.9%
ValueCountFrequency (%)
-7.275036707 1
< 0.1%
-5.817029459 1
< 0.1%
-5.50069172 1
< 0.1%
-5.455090672 1
< 0.1%
-5.416255161 1
< 0.1%
-5.41133044 1
< 0.1%
-5.409722417 1
< 0.1%
-5.400667117 1
< 0.1%
-5.331371291 1
< 0.1%
-5.327160595 1
< 0.1%
ValueCountFrequency (%)
9.854701534 1
< 0.1%
9.369226864 1
< 0.1%
9.181525054 1
< 0.1%
9.121567529 1
< 0.1%
9.102653962 1
< 0.1%
9.026275904 1
< 0.1%
8.863299311 1
< 0.1%
8.787827805 1
< 0.1%
8.699457621 1
< 0.1%
8.672858356 1
< 0.1%

v_4
Real number (ℝ)

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.017874615
Minimum-4.3645652
Maximum6.8293516
Zeros0
Zeros (%)0.0%
Negative77887
Negative (%)51.9%
Memory size1.1 MiB
2023-05-26T07:46:58.432967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-4.3645652
5-th percentile-1.6946815
Q1-0.92119148
median-0.075910429
Q30.86875844
95-th percentile2.1008146
Maximum6.8293516
Range11.193917
Interquartile range (IQR)1.7899499

Descriptive statistics

Standard deviation1.1936614
Coefficient of variation (CV)66.779699
Kurtosis-0.19729524
Mean0.017874615
Median Absolute Deviation (MAD)0.88815762
Skewness0.36798897
Sum2681.1922
Variance1.4248275
MonotonicityNot monotonic
2023-05-26T07:46:58.627994image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.626828233 20
 
< 0.1%
0.6967751761 16
 
< 0.1%
1.23545786 15
 
< 0.1%
-0.3649862222 15
 
< 0.1%
-0.3658995025 15
 
< 0.1%
-0.3798153928 15
 
< 0.1%
-0.3932832081 14
 
< 0.1%
-0.3048146874 14
 
< 0.1%
1.617135927 14
 
< 0.1%
-0.2910286045 12
 
< 0.1%
Other values (143988) 149850
99.9%
ValueCountFrequency (%)
-4.364565242 1
< 0.1%
-4.233625966 1
< 0.1%
-4.211500995 1
< 0.1%
-4.156168164 1
< 0.1%
-4.095555032 1
< 0.1%
-4.068386996 1
< 0.1%
-4.052596216 1
< 0.1%
-4.047408072 1
< 0.1%
-4.031993263 1
< 0.1%
-4.025980936 1
< 0.1%
ValueCountFrequency (%)
6.82935164 1
< 0.1%
4.95909398 1
< 0.1%
4.955469803 1
< 0.1%
4.87727069 1
< 0.1%
4.846567074 1
< 0.1%
4.773484372 1
< 0.1%
4.772406485 1
< 0.1%
4.737806104 1
< 0.1%
4.718781351 1
< 0.1%
4.701143925 1
< 0.1%

v_5
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct139624
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24820353
Minimum0
Maximum0.29183811
Zeros4485
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:58.849019image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.22705934
Q10.24361535
median0.25779797
Q30.26529726
95-th percentile0.27790349
Maximum0.29183811
Range0.29183811
Interquartile range (IQR)0.021681906

Descriptive statistics

Standard deviation0.045803971
Coefficient of variation (CV)0.18454198
Kurtosis22.934081
Mean0.24820353
Median Absolute Deviation (MAD)0.0096770482
Skewness-4.7370939
Sum37230.529
Variance0.0020980038
MonotonicityNot monotonic
2023-05-26T07:46:59.128212image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4485
 
3.0%
0.2694058132 20
 
< 0.1%
0.2562264318 16
 
< 0.1%
0.2657638553 15
 
< 0.1%
0.2609957841 15
 
< 0.1%
0.2770966197 15
 
< 0.1%
0.2610820816 15
 
< 0.1%
0.263125818 14
 
< 0.1%
0.2773974215 14
 
< 0.1%
0.2606313746 14
 
< 0.1%
Other values (139614) 145377
96.9%
ValueCountFrequency (%)
0 4485
3.0%
1.182991951 × 10-51
 
< 0.1%
3.541627639 × 10-51
 
< 0.1%
4.983770368 × 10-51
 
< 0.1%
9.987459124 × 10-51
 
< 0.1%
0.0001319884273 1
 
< 0.1%
0.0001341899907 1
 
< 0.1%
0.0001389430213 1
 
< 0.1%
0.0002295379476 2
 
< 0.1%
0.0002457688932 1
 
< 0.1%
ValueCountFrequency (%)
0.2918381131 1
< 0.1%
0.2916221047 1
< 0.1%
0.291473069 1
< 0.1%
0.2914312843 1
< 0.1%
0.291293837 1
< 0.1%
0.2912163495 1
< 0.1%
0.2912007402 1
< 0.1%
0.2911755611 1
< 0.1%
0.2911123139 1
< 0.1%
0.2910892738 1
< 0.1%

v_6
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct109766
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.044923004
Minimum0
Maximum0.1514196
Zeros35465
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:46:59.423764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.8110998 × 10-5
median0.00081205862
Q30.1020093
95-th percentile0.11964059
Maximum0.1514196
Range0.1514196
Interquartile range (IQR)0.10197119

Descriptive statistics

Standard deviation0.051742787
Coefficient of variation (CV)1.1518105
Kurtosis-1.7425667
Mean0.044923004
Median Absolute Deviation (MAD)0.00081205862
Skewness0.36807304
Sum6738.4506
Variance0.0026773161
MonotonicityNot monotonic
2023-05-26T07:46:59.911485image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35465
 
23.6%
5.281627533 × 10-520
 
< 0.1%
0.09347230563 16
 
< 0.1%
0.07521186781 15
 
< 0.1%
0.09188745529 15
 
< 0.1%
0.09502883385 15
 
< 0.1%
0.08756163723 15
 
< 0.1%
0.09285305161 14
 
< 0.1%
0.08870361553 14
 
< 0.1%
0.09545229844 14
 
< 0.1%
Other values (109756) 114397
76.3%
ValueCountFrequency (%)
0 35465
23.6%
1.498903956 × 10-81
 
< 0.1%
1.855559964 × 10-81
 
< 0.1%
3.458416163 × 10-81
 
< 0.1%
5.365260697 × 10-81
 
< 0.1%
6.360355517 × 10-81
 
< 0.1%
8.652398178 × 10-81
 
< 0.1%
1.114472255 × 10-71
 
< 0.1%
1.211383514 × 10-71
 
< 0.1%
1.306585345 × 10-71
 
< 0.1%
ValueCountFrequency (%)
0.1514195959 1
< 0.1%
0.1511057713 1
< 0.1%
0.1503892133 1
< 0.1%
0.1503220462 1
< 0.1%
0.1499101503 1
< 0.1%
0.149584872 1
< 0.1%
0.1495521597 1
< 0.1%
0.148994472 1
< 0.1%
0.1483283726 1
< 0.1%
0.1478861386 1
< 0.1%

v_7
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct138709
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12469246
Minimum0
Maximum1.4049364
Zeros5467
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:47:00.119995image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.007337314
Q10.062473533
median0.095865898
Q30.12524294
95-th percentile0.1681911
Maximum1.4049364
Range1.4049364
Interquartile range (IQR)0.062769412

Descriptive statistics

Standard deviation0.20140953
Coefficient of variation (CV)1.6152503
Kurtosis25.845489
Mean0.12469246
Median Absolute Deviation (MAD)0.031055391
Skewness5.130233
Sum18703.869
Variance0.040565799
MonotonicityNot monotonic
2023-05-26T07:47:00.394328image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5467
 
3.6%
0.1242125722 20
 
< 0.1%
0.1302719182 16
 
< 0.1%
0.05167975228 15
 
< 0.1%
0.08159521024 15
 
< 0.1%
0.139667344 15
 
< 0.1%
0.1409074869 15
 
< 0.1%
0.1408648003 14
 
< 0.1%
0.0451710962 14
 
< 0.1%
0.07292957058 14
 
< 0.1%
Other values (138699) 144395
96.3%
ValueCountFrequency (%)
0 5467
3.6%
8.788703506 × 10-71
 
< 0.1%
4.967235703 × 10-61
 
< 0.1%
5.313628437 × 10-61
 
< 0.1%
7.115923657 × 10-61
 
< 0.1%
9.02865141 × 10-61
 
< 0.1%
1.028944288 × 10-51
 
< 0.1%
1.411220448 × 10-51
 
< 0.1%
1.482224932 × 10-51
 
< 0.1%
1.720118199 × 10-51
 
< 0.1%
ValueCountFrequency (%)
1.404936375 1
< 0.1%
1.401999012 1
< 0.1%
1.387846594 1
< 0.1%
1.385366787 1
< 0.1%
1.372934179 1
< 0.1%
1.371788211 1
< 0.1%
1.361038928 1
< 0.1%
1.355847455 1
< 0.1%
1.350293272 1
< 0.1%
1.349305751 1
< 0.1%

v_8
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct142451
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.058143855
Minimum0
Maximum0.16079099
Zeros1597
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:47:00.702697image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.013531564
Q10.035333687
median0.057013598
Q30.079381571
95-th percentile0.1087994
Maximum0.16079099
Range0.16079099
Interquartile range (IQR)0.044047884

Descriptive statistics

Standard deviation0.029185756
Coefficient of variation (CV)0.5019577
Kurtosis-0.63622526
Mean0.058143855
Median Absolute Deviation (MAD)0.021998981
Skewness0.20461326
Sum8721.5782
Variance0.00085180833
MonotonicityNot monotonic
2023-05-26T07:47:00.993901image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1597
 
1.1%
0.06735800888 20
 
< 0.1%
0.07474168883 16
 
< 0.1%
0.08469556352 15
 
< 0.1%
0.0732681433 15
 
< 0.1%
0.07666355645 15
 
< 0.1%
0.07590468059 15
 
< 0.1%
0.07865835259 14
 
< 0.1%
0.07537557616 14
 
< 0.1%
0.08058404544 14
 
< 0.1%
Other values (142441) 148265
98.8%
ValueCountFrequency (%)
0 1597
1.1%
9.229282312 × 10-71
 
< 0.1%
2.029666399 × 10-61
 
< 0.1%
4.413213728 × 10-61
 
< 0.1%
6.403629719 × 10-61
 
< 0.1%
7.995614707 × 10-61
 
< 0.1%
1.003058269 × 10-51
 
< 0.1%
1.39975955 × 10-51
 
< 0.1%
2.333513684 × 10-51
 
< 0.1%
2.457165374 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.1607909853 1
< 0.1%
0.1597096024 1
< 0.1%
0.1577662813 1
< 0.1%
0.1555761419 1
< 0.1%
0.1538494068 1
< 0.1%
0.1534977751 1
< 0.1%
0.1534439223 1
< 0.1%
0.1532394252 1
< 0.1%
0.1523150865 1
< 0.1%
0.1520849765 1
< 0.1%

v_9
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct140617
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.061995895
Minimum0
Maximum0.22278749
Zeros3486
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:47:01.303263image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0094964961
Q10.033930177
median0.058483667
Q30.087490548
95-th percentile0.12484144
Maximum0.22278749
Range0.22278749
Interquartile range (IQR)0.053560371

Descriptive statistics

Standard deviation0.035691979
Coefficient of variation (CV)0.5757152
Kurtosis-0.32149118
Mean0.061995895
Median Absolute Deviation (MAD)0.026549849
Skewness0.41950075
Sum9299.3842
Variance0.0012739173
MonotonicityNot monotonic
2023-05-26T07:47:01.585835image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3486
 
2.3%
0.01486672915 20
 
< 0.1%
0.08276476968 16
 
< 0.1%
0.04587739606 15
 
< 0.1%
0.04676530325 15
 
< 0.1%
0.1011497378 15
 
< 0.1%
0.05153510167 15
 
< 0.1%
0.04961071498 14
 
< 0.1%
0.04820274816 14
 
< 0.1%
0.11088657 14
 
< 0.1%
Other values (140607) 146376
97.6%
ValueCountFrequency (%)
0 3486
2.3%
1.271994569 × 10-61
 
< 0.1%
3.552864466 × 10-61
 
< 0.1%
5.529589418 × 10-61
 
< 0.1%
7.708846052 × 10-61
 
< 0.1%
1.116667106 × 10-51
 
< 0.1%
1.12864626 × 10-51
 
< 0.1%
1.168502825 × 10-51
 
< 0.1%
1.377531526 × 10-51
 
< 0.1%
1.44913339 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.2227874876 1
< 0.1%
0.2136169591 1
< 0.1%
0.2117691737 1
< 0.1%
0.211074674 1
< 0.1%
0.2104021627 1
< 0.1%
0.2077164321 1
< 0.1%
0.2058236921 1
< 0.1%
0.2057341112 1
< 0.1%
0.2016334275 1
< 0.1%
0.2014128192 1
< 0.1%

v_10
Real number (ℝ)

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0010002388
Minimum-9.1681924
Maximum12.357011
Zeros0
Zeros (%)0.0%
Negative63813
Negative (%)42.5%
Memory size1.1 MiB
2023-05-26T07:47:01.888376image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-9.1681924
5-th percentile-5.6589034
Q1-3.7223029
median1.6240763
Q32.8443568
95-th percentile4.0561721
Maximum12.357011
Range21.525203
Interquartile range (IQR)6.5666597

Descriptive statistics

Standard deviation3.7723864
Coefficient of variation (CV)-3771.4857
Kurtosis-0.57793506
Mean-0.0010002388
Median Absolute Deviation (MAD)2.148034
Skewness0.025220464
Sum-150.03582
Variance14.230899
MonotonicityNot monotonic
2023-05-26T07:47:02.169517image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.329386406 20
 
< 0.1%
-4.303480552 16
 
< 0.1%
-3.163235777 15
 
< 0.1%
-4.047399926 15
 
< 0.1%
-4.757358503 15
 
< 0.1%
-4.383928893 15
 
< 0.1%
-4.815884497 14
 
< 0.1%
-3.950857205 14
 
< 0.1%
-4.686442272 14
 
< 0.1%
-4.294578317 12
 
< 0.1%
Other values (143987) 149850
99.9%
ValueCountFrequency (%)
-9.16819241 1
< 0.1%
-9.109525099 1
< 0.1%
-8.798809873 1
< 0.1%
-8.776898545 1
< 0.1%
-8.563886287 1
< 0.1%
-8.531404712 1
< 0.1%
-8.439577663 1
< 0.1%
-8.436945425 1
< 0.1%
-8.420194943 1
< 0.1%
-8.403006064 1
< 0.1%
ValueCountFrequency (%)
12.35701062 1
< 0.1%
12.3193027 1
< 0.1%
12.28529882 1
< 0.1%
12.18050295 1
< 0.1%
12.16900107 1
< 0.1%
12.14841596 1
< 0.1%
12.14642666 1
< 0.1%
12.13089307 1
< 0.1%
12.118343 1
< 0.1%
12.10309392 1
< 0.1%

v_11
Real number (ℝ)

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0090345435
Minimum-5.5582067
Maximum18.819042
Zeros0
Zeros (%)0.0%
Negative83038
Negative (%)55.4%
Memory size1.1 MiB
2023-05-26T07:47:02.433631image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-5.5582067
5-th percentile-3.3737624
Q1-1.951543
median-0.3580527
Q31.2550217
95-th percentile2.8407118
Maximum18.819042
Range24.377249
Interquartile range (IQR)3.2065647

Descriptive statistics

Standard deviation3.2860712
Coefficient of variation (CV)363.723
Kurtosis12.568731
Mean0.0090345435
Median Absolute Deviation (MAD)1.603479
Skewness3.0291458
Sum1355.1815
Variance10.798264
MonotonicityNot monotonic
2023-05-26T07:47:02.630270image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.255590644 20
 
< 0.1%
-0.3300530272 16
 
< 0.1%
-0.8026135578 15
 
< 0.1%
-0.07987170397 15
 
< 0.1%
-1.107940254 15
 
< 0.1%
-1.436493608 15
 
< 0.1%
-1.124892465 14
 
< 0.1%
-0.3059463708 14
 
< 0.1%
-1.229805655 14
 
< 0.1%
0.09586985004 12
 
< 0.1%
Other values (143987) 149850
99.9%
ValueCountFrequency (%)
-5.558206704 1
< 0.1%
-5.403044225 1
< 0.1%
-5.391154102 1
< 0.1%
-5.366580189 1
< 0.1%
-5.362860991 1
< 0.1%
-5.357751062 1
< 0.1%
-5.323257711 1
< 0.1%
-5.319742393 1
< 0.1%
-5.306671718 2
< 0.1%
-5.300744095 1
< 0.1%
ValueCountFrequency (%)
18.81904247 1
< 0.1%
18.80207184 1
< 0.1%
18.80121836 1
< 0.1%
18.7871018 1
< 0.1%
18.76544301 1
< 0.1%
18.75896469 1
< 0.1%
18.74829267 1
< 0.1%
18.74622928 1
< 0.1%
18.74444509 1
< 0.1%
18.73119891 1
< 0.1%

v_12
Real number (ℝ)

Distinct143997
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0048125953
Minimum-9.6395521
Maximum13.847792
Zeros0
Zeros (%)0.0%
Negative77843
Negative (%)51.9%
Memory size1.1 MiB
2023-05-26T07:47:02.863599image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-9.6395521
5-th percentile-3.7901162
Q1-1.8718458
median-0.13075332
Q31.7769329
95-th percentile4.1004043
Maximum13.847792
Range23.487344
Interquartile range (IQR)3.6487787

Descriptive statistics

Standard deviation2.5174777
Coefficient of variation (CV)523.10189
Kurtosis0.26893739
Mean0.0048125953
Median Absolute Deviation (MAD)1.8196594
Skewness0.3653576
Sum721.88929
Variance6.3376939
MonotonicityNot monotonic
2023-05-26T07:47:03.152967image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8474330653 20
 
< 0.1%
2.486296944 16
 
< 0.1%
3.097962759 15
 
< 0.1%
2.375255682 15
 
< 0.1%
2.10447048 15
 
< 0.1%
2.515776809 15
 
< 0.1%
2.260273184 14
 
< 0.1%
2.76974006 14
 
< 0.1%
2.387382343 14
 
< 0.1%
2.291053577 12
 
< 0.1%
Other values (143987) 149850
99.9%
ValueCountFrequency (%)
-9.639552114 1
< 0.1%
-9.404105892 1
< 0.1%
-9.288895057 1
< 0.1%
-9.223992577 1
< 0.1%
-8.679290001 1
< 0.1%
-8.29342315 1
< 0.1%
-7.994811006 1
< 0.1%
-7.940938452 1
< 0.1%
-7.882603027 1
< 0.1%
-7.781645479 1
< 0.1%
ValueCountFrequency (%)
13.84779152 1
< 0.1%
13.56201137 1
< 0.1%
13.11304284 1
< 0.1%
13.08366141 1
< 0.1%
12.97305681 1
< 0.1%
12.96450244 1
< 0.1%
12.86928093 1
< 0.1%
12.69309179 1
< 0.1%
12.69220083 1
< 0.1%
12.53388557 1
< 0.1%

v_13
Real number (ℝ)

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00027829415
Minimum-4.1538988
Maximum6
Zeros0
Zeros (%)0.0%
Negative76475
Negative (%)51.0%
Memory size1.1 MiB
2023-05-26T07:47:03.440969image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-4.1538988
5-th percentile-1.931084
Q1-1.057789
median-0.036244604
Q30.94281308
95-th percentile2.1877945
Maximum6
Range10.153899
Interquartile range (IQR)2.0006021

Descriptive statistics

Standard deviation1.2887594
Coefficient of variation (CV)4630.925
Kurtosis-0.47061766
Mean0.00027829415
Median Absolute Deviation (MAD)1.0028439
Skewness0.26449575
Sum41.744123
Variance1.6609007
MonotonicityNot monotonic
2023-05-26T07:47:03.733721image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.698496921 20
 
< 0.1%
-0.04346267135 16
 
< 0.1%
0.548696614 15
 
< 0.1%
-0.8346971591 15
 
< 0.1%
-0.3678552551 15
 
< 0.1%
-0.499452746 15
 
< 0.1%
-0.6628001058 14
 
< 0.1%
-0.3759573692 14
 
< 0.1%
1.037323962 14
 
< 0.1%
-0.4777935057 12
 
< 0.1%
Other values (143988) 149850
99.9%
ValueCountFrequency (%)
-4.153898796 1
< 0.1%
-4.102768496 1
< 0.1%
-4.074922408 1
< 0.1%
-4.0721217 1
< 0.1%
-4.069742029 1
< 0.1%
-4.067599018 1
< 0.1%
-4.061925627 2
< 0.1%
-4.056964719 1
< 0.1%
-4.051594748 1
< 0.1%
-4.050647538 1
< 0.1%
ValueCountFrequency (%)
6 1
< 0.1%
5.249749785 1
< 0.1%
5.249572137 1
< 0.1%
5.23233722 1
< 0.1%
5.228602135 1
< 0.1%
5.211531428 1
< 0.1%
5.202267249 1
< 0.1%
5.154822212 1
< 0.1%
5.148795243 1
< 0.1%
5.140787075 1
< 0.1%

v_14
Real number (ℝ)

Distinct143998
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.00071928756
Minimum-6.546556
Maximum4
Zeros0
Zeros (%)0.0%
Negative63783
Negative (%)42.5%
Memory size1.1 MiB
2023-05-26T07:47:04.008947image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum-6.546556
5-th percentile-2.1091609
Q1-0.43703367
median0.14124599
Q30.68037807
95-th percentile1.3656396
Maximum4
Range10.546556
Interquartile range (IQR)1.1174117

Descriptive statistics

Standard deviation1.0384959
Coefficient of variation (CV)-1443.784
Kurtosis2.3665595
Mean-0.00071928756
Median Absolute Deviation (MAD)0.55738124
Skewness-1.190398
Sum-107.89313
Variance1.0784737
MonotonicityNot monotonic
2023-05-26T07:47:04.455655image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.003014936599 20
 
< 0.1%
-2.290343715 16
 
< 0.1%
-3.059444119 15
 
< 0.1%
-1.330412484 15
 
< 0.1%
1.02748673 15
 
< 0.1%
0.8695861711 15
 
< 0.1%
-0.5508258348 14
 
< 0.1%
0.9797061334 14
 
< 0.1%
-2.488781485 14
 
< 0.1%
1.162447648 12
 
< 0.1%
Other values (143988) 149850
99.9%
ValueCountFrequency (%)
-6.546555965 1
< 0.1%
-6.124708498 1
< 0.1%
-6.123291914 1
< 0.1%
-6.113291304 1
< 0.1%
-6.066107398 1
< 0.1%
-6.063769659 1
< 0.1%
-6.054216129 1
< 0.1%
-6.042293499 1
< 0.1%
-6.039043811 1
< 0.1%
-6.03287148 1
< 0.1%
ValueCountFrequency (%)
4 1
< 0.1%
2.743992717 1
< 0.1%
2.729442487 1
< 0.1%
2.697364726 1
< 0.1%
2.628865462 1
< 0.1%
2.610131228 1
< 0.1%
2.597003108 1
< 0.1%
2.594483625 1
< 0.1%
2.589690085 1
< 0.1%
2.589234092 1
< 0.1%

transformed_price
Real number (ℝ)

Distinct3763
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.481488
Minimum2.6493941
Maximum19.132177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 MiB
2023-05-26T07:47:04.760295image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2.6493941
5-th percentile7.7333354
Q19.7539585
median11.465156
Q313.19762
95-th percentile15.259482
Maximum19.132177
Range16.482783
Interquartile range (IQR)3.443662

Descriptive statistics

Standard deviation2.3380253
Coefficient of variation (CV)0.20363435
Kurtosis-0.3656687
Mean11.481488
Median Absolute Deviation (MAD)1.7111979
Skewness-0.011873572
Sum1722223.2
Variance5.4663623
MonotonicityNot monotonic
2023-05-26T07:47:04.992639image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.101072629 2337
 
1.6%
10.01281994 2158
 
1.4%
9.610482518 1922
 
1.3%
9.28716035 1850
 
1.2%
10.96200243 1821
 
1.2%
8.406561847 1535
 
1.0%
11.60924638 1533
 
1.0%
8.897956444 1513
 
1.0%
10.54248601 1378
 
0.9%
9.285399378 1356
 
0.9%
Other values (3753) 132597
88.4%
ValueCountFrequency (%)
2.6493941 2
 
< 0.1%
2.755652304 3
 
< 0.1%
2.854070915 6
 
< 0.1%
2.945768968 1
 
< 0.1%
3.031639221 13
< 0.1%
3.112405637 1
 
< 0.1%
3.188663635 1
 
< 0.1%
3.39496835 14
< 0.1%
3.682739352 15
< 0.1%
3.877076502 1
 
< 0.1%
ValueCountFrequency (%)
19.13217674 5
< 0.1%
19.13194579 1
 
< 0.1%
19.12963523 1
 
< 0.1%
19.09162306 1
 
< 0.1%
19.0804053 2
 
< 0.1%
19.06730444 1
 
< 0.1%
19.01159842 1
 
< 0.1%
19.00086026 1
 
< 0.1%
18.97111484 1
 
< 0.1%
18.959946 1
 
< 0.1%

Interactions

2023-05-26T07:46:38.168437image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:42:51.653021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
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2023-05-26T07:43:25.486956image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:33.563012image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:45.818726image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:54.620688image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:03.146162image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:11.931141image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:20.634382image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:29.474133image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:38.190944image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:46.756631image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:54.831887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:03.325192image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:11.774873image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:20.120039image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:29.242965image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:37.872269image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:46.678243image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:54.905468image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:03.284833image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:11.810388image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:20.326543image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:28.490097image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:37.220354image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:46.167862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:03.360544image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:14.380754image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:25.819774image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:33.962587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:46.136604image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:54.866031image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:03.417437image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:12.283687image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:20.982177image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:29.676768image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:38.553779image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:47.096879image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:55.405431image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:03.823527image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:12.097219image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:20.453814image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:29.535514image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:38.223574image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:47.173867image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:55.124478image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:03.518465image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:12.135745image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:20.640264image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:28.831223image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:37.552633image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:46.392948image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:03.794250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:14.726465image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:26.136751image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:34.379580image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:46.443519image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:43:55.187916image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:03.746880image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:12.607126image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:21.272082image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:30.011488image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:38.841562image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:47.399247image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:44:55.739181image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:04.166627image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:12.639167image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:21.096506image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:30.036400image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:38.797984image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:47.517651image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:45:55.431347image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:03.814997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:12.445482image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:20.975382image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:29.148072image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-05-26T07:46:37.856711image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2023-05-26T07:47:05.308582image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
regDatemodelbrandbodyTypefuelTypepowerkilometerregionCodecreatDatepricev_0v_1v_2v_3v_4v_5v_6v_7v_8v_9v_10v_11v_12v_13v_14transformed_pricegearboxnotRepairedDamage
regDate1.0000.1500.0220.1170.3280.289-0.478-0.0030.0030.7790.6400.1590.624-0.8270.255-0.0620.3790.0240.7760.139-0.383-0.2540.7530.4170.3120.7790.1510.141
model0.1501.0000.3380.1900.0670.056-0.0840.009-0.0020.1020.0530.106-0.017-0.1890.412-0.1820.088-0.2560.1780.396-0.073-0.0510.0850.401-0.3590.1020.1080.029
brand0.0220.3381.0000.073-0.122-0.076-0.103-0.0070.001-0.103-0.1530.047-0.1500.0200.335-0.209-0.033-0.238-0.0070.3350.0580.031-0.1000.321-0.129-0.1030.2090.042
bodyType0.1170.1900.0731.0000.1510.190-0.0260.0160.0040.2140.2660.059-0.173-0.238-0.0070.3020.060-0.3630.1770.034-0.167-0.2640.1060.036-0.1650.2140.2410.055
fuelType0.3280.067-0.1220.1511.0000.2630.123-0.014-0.0080.3430.3660.0220.215-0.339-0.1070.1830.1260.0280.310-0.132-0.187-0.1940.329-0.0420.0290.3430.1810.046
power0.2890.056-0.0760.1900.2631.000-0.0060.0170.0100.5770.6410.0700.217-0.490-0.3940.5660.244-0.0360.402-0.405-0.370-0.3320.468-0.285-0.0490.5770.4700.067
kilometer-0.478-0.084-0.103-0.0260.123-0.0061.000-0.012-0.006-0.410-0.279-0.079-0.3230.418-0.2340.124-0.1870.002-0.395-0.1690.1640.110-0.373-0.310-0.184-0.4100.0510.098
regionCode-0.0030.009-0.0070.016-0.0140.017-0.0121.0000.0060.0060.0010.0320.005-0.011-0.0100.0060.039-0.014-0.001-0.012-0.0240.0190.004-0.001-0.0090.0060.0250.012
creatDate0.003-0.0020.0010.004-0.0080.010-0.0060.0061.0000.0210.0160.0120.008-0.013-0.0050.0090.015-0.0010.007-0.004-0.016-0.0020.008-0.0000.0040.0210.0000.000
price0.7790.102-0.1030.2140.3430.577-0.4100.0060.0211.0000.8730.1500.598-0.925-0.1500.3540.4230.0210.836-0.236-0.507-0.4100.8600.0530.1891.0000.3090.121
v_00.6400.053-0.1530.2660.3660.641-0.2790.0010.0160.8731.0000.2000.524-0.775-0.3120.5750.4900.0620.633-0.333-0.646-0.3770.736-0.1850.0260.8730.3520.178
v_10.1590.1060.0470.0590.0220.070-0.0790.0320.0120.1500.2001.0000.170-0.0910.1190.0290.862-0.284-0.1890.117-0.8010.613-0.0820.2070.0940.1500.1900.042
v_20.624-0.017-0.150-0.1730.2150.217-0.3230.0050.0080.5980.5240.1701.000-0.516-0.065-0.1550.4760.6300.493-0.231-0.3950.1590.731-0.0030.2180.5980.1820.126
v_3-0.827-0.1890.020-0.238-0.339-0.4900.418-0.011-0.013-0.925-0.775-0.091-0.5161.000-0.010-0.234-0.3150.119-0.9390.0840.3840.507-0.863-0.252-0.193-0.9250.2640.231
v_40.2550.4120.335-0.007-0.107-0.394-0.234-0.010-0.005-0.150-0.3120.119-0.065-0.0101.000-0.7640.007-0.3090.0480.9610.1180.161-0.1350.932-0.028-0.1500.2430.041
v_5-0.062-0.182-0.2090.3020.1830.5660.1240.0060.0090.3540.5750.029-0.155-0.234-0.7641.0000.123-0.1900.116-0.688-0.341-0.3920.193-0.671-0.1140.3540.2610.055
v_60.3790.088-0.0330.0600.1260.244-0.1870.0390.0150.4230.4900.8620.476-0.3150.0070.1231.000-0.0570.039-0.041-0.9350.5150.2340.0930.0990.4230.1550.035
v_70.024-0.256-0.238-0.3630.028-0.0360.002-0.014-0.0010.0210.062-0.2840.6300.119-0.309-0.190-0.0571.000-0.013-0.3770.1350.1570.222-0.4190.1210.0210.0960.012
v_80.7760.178-0.0070.1770.3100.402-0.395-0.0010.0070.8360.633-0.1890.493-0.9390.0480.1160.039-0.0131.000-0.071-0.086-0.6340.8970.2550.1690.8360.2400.216
v_90.1390.3960.3350.034-0.132-0.405-0.169-0.012-0.004-0.236-0.3330.117-0.2310.0840.961-0.688-0.041-0.377-0.0711.0000.1210.119-0.3050.874-0.076-0.2360.2630.072
v_10-0.383-0.0730.058-0.167-0.187-0.3700.164-0.024-0.016-0.507-0.646-0.801-0.3950.3840.118-0.341-0.9350.135-0.0860.1211.000-0.358-0.2560.018-0.041-0.5070.2810.157
v_11-0.254-0.0510.031-0.264-0.194-0.3320.1100.019-0.002-0.410-0.3770.6130.1590.5070.161-0.3920.5150.157-0.6340.119-0.3581.000-0.4080.0580.008-0.4100.2320.087
v_120.7530.085-0.1000.1060.3290.468-0.3730.0040.0080.8600.736-0.0820.731-0.863-0.1350.1930.2340.2220.897-0.305-0.256-0.4081.0000.0190.1180.8600.2800.222
v_130.4170.4010.3210.036-0.042-0.285-0.310-0.001-0.0000.053-0.1850.207-0.003-0.2520.932-0.6710.093-0.4190.2550.8740.0180.0580.0191.0000.1530.0530.2090.043
v_140.312-0.359-0.129-0.1650.029-0.049-0.184-0.0090.0040.1890.0260.0940.218-0.193-0.028-0.1140.0990.1210.169-0.076-0.0410.0080.1180.1531.0000.1890.0830.091
transformed_price0.7790.102-0.1030.2140.3430.577-0.4100.0060.0211.0000.8730.1500.598-0.925-0.1500.3540.4230.0210.836-0.236-0.507-0.4100.8600.0530.1891.0000.3400.280
gearbox0.1510.1080.2090.2410.1810.4700.0510.0250.0000.3090.3520.1900.1820.2640.2430.2610.1550.0960.2400.2630.2810.2320.2800.2090.0830.3401.0000.030
notRepairedDamage0.1410.0290.0420.0550.0460.0670.0980.0120.0000.1210.1780.0420.1260.2310.0410.0550.0350.0120.2160.0720.1570.0870.2220.0430.0910.2800.0301.000

Missing values

2023-05-26T07:46:46.845722image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-05-26T07:46:48.205613image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

regDatemodelbrandbodyTypefuelTypegearboxpowerkilometernotRepairedDamageregionCodecreatDatepricev_0v_1v_2v_3v_4v_5v_6v_7v_8v_9v_10v_11v_12v_13v_14transformed_price
02004040230.061.00.00.06012.50.01046201604041850.043.3577963.9663440.0502572.1597441.1437860.2356760.1019880.1295490.0228160.097462-2.8818032.804097-2.4208210.7952920.91476210.397713
12003030140.012.00.00.0015.00.04366201603093600.045.3052735.2361120.1379251.380657-1.4221650.2647770.1210040.1357310.0265970.020582-4.9004822.096338-1.030483-1.7226740.24552211.664249
220040403115.0151.00.00.016312.50.02806201604026222.045.9783594.8237921.319524-0.998467-0.9969110.2514100.1149120.1651470.0621730.027075-4.8467491.8035591.565330-0.832687-0.22996312.758106
319960908109.0100.00.01.019315.00.0434201603122400.045.6874784.492574-0.0506160.883600-2.2280790.2742930.1103000.1219640.0333950.000000-4.5095991.285940-0.501868-2.438353-0.47869910.884682
420120103110.051.00.00.0685.00.06977201603135200.044.3835112.0314330.572169-1.5712392.2460880.2280360.0732050.0918800.0788190.121534-1.8962400.9107830.9311102.8345181.92348212.393979
52009060224.0100.01.00.010910.00.03690201603198000.046.323165-3.2292850.156615-1.727217-0.3456900.2602460.0005180.1198380.0909220.0487691.885526-2.7219432.457660-0.2869730.20657313.277254
61999041113.040.00.01.015015.00.03073201603173500.046.1043354.9262190.1133111.644606-1.2703810.2679980.1176750.1423340.0254460.028174-4.9022001.610616-0.834605-1.996117-0.10318011.609246
71999070626.0141.00.00.010115.00.04000201603261000.042.255586-3.167771-0.6766931.9426730.5242060.2395060.0000000.1229430.0398390.0824133.693829-0.245014-2.1928100.2367280.1955679.287160
82003020519.012.01.01.017915.00.04679201603262850.046.0848884.8937170.4753330.556575-1.2624900.2638330.1165830.1442550.0398510.024388-4.9252341.5877960.075348-1.5510980.06943311.211934
9199801017.075.00.00.08815.00.030220160402650.043.0746261.666386-2.2015453.0968610.8438520.2624730.0682670.0121760.0102910.098727-1.0895840.600683-4.1862100.198273-1.0258228.542124
regDatemodelbrandbodyTypefuelTypegearboxpowerkilometernotRepairedDamageregionCodecreatDatepricev_0v_1v_2v_3v_4v_5v_6v_7v_8v_9v_10v_11v_12v_13v_14transformed_price
1499902001120741.061.00.00.0608.00.0606820160331450.041.583949-3.180839-0.9795533.0723641.8357410.2297190.0000000.1156740.0266960.1236344.0844780.243821-3.5052391.2857900.8569627.926603
1499912012040147.015.00.01.02115.00.042252016032124950.048.7281805.6140350.703266-3.768265-1.3472440.2792640.1259220.0688980.0953200.012592-7.088874-0.4253714.044331-0.6338290.58672415.764796
1499922000120632.081.00.00.08215.00.0510220160309950.041.993906-3.126642-0.7958361.8089471.2032260.2347360.0000000.1058340.0420960.1024353.735963-0.176973-2.3532030.998859-0.0858799.197065
14999320041103184.0110.01.00.01402.00.0519201603244399.044.175418-3.045687-0.886965-1.3924490.4484690.2553490.0004130.0414390.0824650.0742472.374701-2.1962980.6429200.900097-0.72160712.059294
1499942012010742.011.00.00.01223.00.050532016032414780.047.0551214.7332811.851484-1.8850761.2199550.2351290.1146280.1703230.0803250.091744-5.1382971.4424912.8125790.951352-1.60079414.590899
14999520000607121.0104.00.01.016315.00.04576201603275900.045.316543-3.139095-1.269707-0.736609-1.5058200.2802640.0003100.0484410.0711580.0191741.988114-2.9839730.589167-1.304370-0.30259212.649712
14999620091102116.0110.00.00.012510.00.02826201603129500.045.972058-3.143764-0.023523-2.3666990.6980120.2532170.0007770.0840790.0996810.0793711.839166-2.7746152.5539940.924196-0.27216013.638398
1499972010100360.0111.01.00.0906.00.03302201603287500.044.733481-3.1057210.595454-2.2790911.4236610.2333530.0007050.1188720.1001180.0979142.439812-1.6306772.2901971.8919220.41493113.142933
1499982006031234.0103.01.00.015615.00.01877201604014999.045.658634-3.204785-0.441680-1.1798120.6206800.2563690.0002520.0814790.0835580.0814982.075380-2.6337191.4149370.431981-1.65901412.314695
1499991999020419.0286.00.01.019312.50.0235201603054700.045.536383-3.200326-1.612893-0.067144-1.3961660.2844750.0000000.0400720.0625430.0258191.978453-3.1799130.031724-1.483350-0.34267412.191165

Duplicate rows

Most frequently occurring

regDatemodelbrandbodyTypefuelTypegearboxpowerkilometernotRepairedDamageregionCodecreatDatepricev_0v_1v_2v_3v_4v_5v_6v_7v_8v_9v_10v_11v_12v_13v_14transformed_price# duplicates
01991061029.001.00.00.0458.00.080620160326799.042.5530410.807032-0.4091522.3806740.4677240.2398540.0565040.1259530.0249830.0802420.1571551.588295-2.7244880.1740280.2274878.8957952
1199206054.040.00.01.011215.00.06129201604031600.044.330144-3.274988-0.8554741.448749-1.0984650.2653020.0000000.1191800.0451400.0351252.865125-1.654240-1.000642-1.569164-0.30978110.1305622
21995030240.010.00.00.010112.50.01588201603291899.044.565640-3.309570-0.7688241.705784-1.6487310.2693520.0000000.1357170.0414750.0193272.849088-1.674207-0.985003-2.193590-0.09539210.4461552
31995081022.091.00.00.009.00.037620160323499.041.171385-3.133968-1.1757172.7824390.8847320.2366720.0000000.1007960.0273820.0952374.0961890.210149-3.5451780.622488-0.0390068.0977432
41995101119.0134.00.00.01312.00.06115201603309900.045.950770-3.178802-1.034784-0.981478-0.9452510.2767840.0004450.0572970.0767050.0363371.814374-3.1909481.121670-0.8842490.18275113.7258282
51996000948.0141.00.00.06015.00.02531201603171200.041.944333-3.110193-0.8095011.6228880.1887260.2422370.0000000.1079550.0423200.0706523.694208-0.238458-2.2095690.2843190.9289929.6104832
61996090849.012.01.00.014015.00.0197201603088500.045.466049-3.215481-0.033720-0.857331-2.3422210.2697970.0002420.1347140.0748220.0000002.226119-2.2745381.547201-2.150968-0.09486113.4040772
71997050119.0351.00.00.011115.00.03606201603151000.043.167654-3.304553-0.3004472.5918740.3518010.2403890.0000000.1679770.0338630.0804233.627868-0.330655-1.970765-0.512096-0.2955199.2871602
81997110619.066.00.01.021515.00.02431201603211390.043.916713-3.173726-2.3426311.515324-1.2604820.2828030.0000000.0183860.0391630.0334922.626873-2.447743-2.136387-1.446604-0.4195449.8746712
91998000713.040.00.00.0015.00.03583201603261599.044.306462-3.282166-0.8922561.712497-1.4761380.2681680.0000000.1250940.0410090.0247472.898935-1.616783-1.179987-1.995069-0.34068610.1294192